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                    支持向量机
            
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                    贝叶斯分类器
            
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                    集成学习
            
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                    计算学习理论
            
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                    概率图模型
            
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<h2 id="&#x95EE;&#x9898;&#x63CF;&#x8FF0;">&#x95EE;&#x9898;&#x63CF;&#x8FF0;</h2>
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<li>&#x5229;&#x7528;&#x6DF1;&#x5EA6;&#x63D0;&#x53D6;&#x56FE;&#x50CF;&#x548C;&#x6587;&#x672C;&#x7279;&#x5F81;&#xFF0C;&#x8F6C;&#x4E3A;hash&#xFF08;I/T-&gt;F-&gt;L+H-&gt;B&#xFF09;</li>
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<li>&#x7ECF;&#x8FC7;&#x56DB;&#x5C42;&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#xFF08;L-&gt;4096-&gt;512-&gt;N&#xFF09;</li>
<li>&#x8F93;&#x51FA;&#x957F;&#x5EA6;&#x4E3A;N&#x7684;&#x5411;&#x91CF;&#xFF0C;N=K+c&#xFF0C;K&#x4E3A;&#x54C8;&#x5E0C;&#x7801;&#x957F;&#x5EA6;&#xFF0C;c&#x4E3A;label&#x7684;&#x7C7B;&#x522B;&#x4E2A;&#x6570;</li>
<li>&#x8BAD;&#x7EC3;&#x76EE;&#x6807;&#xFF1A;&#x8BA9;&#x751F;&#x6210;&#x7684;hash&#x4FDD;&#x7559;&#x8BED;&#x4E49;&#x4E0A;&#x7684;&#x76F8;&#x5173;&#x6027;&#xFF0C;&#x5E76;&#x80FD;&#x8FD8;&#x539F;&#x56DE;&#x539F;&#x6765;&#x7684;label</li>
</ul>
<p><img src="README_4.jpg" alt="">
&#x8BAD;&#x7EC3;&#x76EE;&#x6807;&#x7531;&#x8FD9;&#x4E2A;Loss&#x7EA6;&#x675F;&#x5B8C;&#x6210;&#xFF1A;</p>
<p><img src="README_5.jpg" alt="">
&#x9996;&#x5148;&#x89E3;&#x91CA;&#x4E00;&#x4E0B;&#x7B26;&#x53F7;&#xFF08;&#x4EE5;&#x4E0B;&#x6570;&#x5B66;&#x7B26;&#x53F7;&#x7528;LaTeX&#x683C;&#x5F0F;&#x663E;&#x793A;&#xFF0C;&#x7B80;&#x4E66;&#x4E0D;&#x652F;&#x6301;&#x516C;&#x5F0F;&#x7F16;&#x8F91;&#xFF0C;&#x66F4;&#x597D;&#x7684;&#x9605;&#x8BFB;&#x4F53;&#x9A8C;&#x8BF7;&#x67E5;&#x770B;<a href="http://cweihang.io" target="_blank">cweihang.io</a>&#xFF09;&#xFF0C;</p>
<ul>
<li><script type="math/tex; ">H^l</script> &#x662F;&#x6839;&#x636E;label&#x751F;&#x6210;&#x7684;hash&#xFF0C;</li>
<li><script type="math/tex; ">B^l</script>&#x662F;&#x7531;hash&#x6267;&#x884C;sign&#x64CD;&#x4F5C;&#x5F97;&#x5230;&#x7684;&#x4E8C;&#x8FDB;&#x5236;&#x7801;</li>
<li><script type="math/tex; ">\hat{L}</script> &#x662F;&#x7531;&#x7279;&#x5F81;&#x8FD8;&#x539F;&#x56DE;&#x6765;&#x7684;label</li>
<li><script type="math/tex; ">L</script> &#x662F;&#x539F;&#x672C;&#x7684;label</li>
<li><script type="math/tex; ">\Delta_{ij}^l=\frac{1}{2}(F_i^l)^\top(F_j^l)</script> &#xFF0C;&#x5373;&#x6837;&#x672C;i&#x548C;&#x6837;&#x672C;j&#x7684;label&#x751F;&#x6210;&#x7684;&#x7279;&#x5F81;&#x7684;&#x4F59;&#x5F26;&#x76F8;&#x4F3C;&#x5EA6;</li>
<li><script type="math/tex; ">\Gamma_{ij}^l=\frac{1}{2}(H_i^l)^\top(H_j^l)</script>&#xFF0C;&#x5373;&#x6837;&#x672C;i&#x548C;&#x6837;&#x672C;j&#x7684;label&#x751F;&#x6210;&#x7684;&#x7279;&#x5F81;&#x4F59;&#x5F26;&#x76F8;&#x4F3C;&#x5EA6;</li>
<li><script type="math/tex; ">S_{ij}</script> &#x8868;&#x793A;&#x6837;&#x672C;i&#x548C;j&#x662F;&#x5426;&#x5305;&#x542B;&#x81F3;&#x5C11;&#x4E00;&#x4E2A;&#x76F8;&#x540C;&#x7684;label&#xFF0C;<ul>
<li>&#x5305;&#x542B;&#x4E3A;1&#xFF0C;&#x8868;&#x793A;&#x6837;&#x672C;i&#x548C;j&#x5728;&#x8BED;&#x4E49;&#x4E0A;&#x76F8;&#x4F3C;</li>
<li>&#x4E0D;&#x5305;&#x542B;&#x4E3A;0&#xFF0C;&#x8868;&#x793A;&#x6837;&#x672C;i&#x548C;j&#x5728;&#x8BED;&#x4E49;&#x4E0A;&#x4E0D;&#x76F8;&#x4F3C;</li>
</ul>
</li>
<li>&#x5BF9;&#x4E8E; <script type="math/tex; ">\mathcal{J}_1</script> ,</li>
</ul>
<p><script type="math/tex; ">-\sum_{i,j=1}^{n}{S_{ij}\Delta_{ij}^{l}-log(1+e^{\Delta_{ij}^l})}</script></p>
<p><script type="math/tex; ">= -\sum_{i,j=1}^{n}{log(\frac{e^{S_{ij}\Delta_{ij}^{l}}}{1+e^{\Delta_{ij}^l}})}</script></p>
<p><script type="math/tex; ">= -\sum_{i,j=1}^{n}{log(\frac{e^{\Delta_{ij}^{l}}}{1+e^{\Delta_{ij}^l}})} if S_{ij}=1</script></p>
<p><script type="math/tex; ">= -\sum_{i,j=1}^{n}{log(\frac{1}{1+e^{\Delta_{ij}^l}})} if S_{ij}=0</script></p>
<p><script type="math/tex; ">= \sum_{i,j=1}^{n}-{S_{ij}log(\frac{e^{\Delta_{ij}^{l}}}{1+e^{\Delta_{ij}^l}})-(1-S_{ij})log(1-\frac{e^{\Delta_{ij}^{l}}}{1+e^{\Delta_{ij}^l}})}</script></p>
<p>&#x6240;&#x4EE5;&#xFF0C;&#x5B9E;&#x9645;&#x4E0A;&#x8FD9;&#x4E2A;loss&#x548C;&#x4EA4;&#x53C9;&#x71B5;loss&#x662F;&#x7B49;&#x6548;&#x7684;</p>
<p>&#x5373;<script type="math/tex; ">S_{ij}=1</script>&#x65F6;&#xFF0C;</p>
<p><script type="math/tex; ">min -\sum_{i,j=1}^{n}{log(\frac{e^{\Delta_{ij}^{l}}}{1+e^{\Delta_{ij}^l}})}=max\sum_{i,j=1}^{n}{log(\frac{1}{1+e^{-\Delta_{ij}^l}})}=max \Delta_{ij}^l</script></p>
<p>&#x6700;&#x5927;&#x5316;&#x4E24;&#x4E2A;&#x5411;&#x91CF;&#x7684;&#x4F59;&#x5F26;&#x76F8;&#x4F3C;&#x5EA6;</p>
<p><script type="math/tex; ">S_{ij}=0</script> &#x65F6;&#xFF0C;</p>
<p><script type="math/tex; ">min -\sum_{i,j=1}^{n}{log(\frac{1}{1+e^{\Delta_{ij}^l}})}=max\sum_{i,j=1}^{n}{log(\frac{1}{1+e^{\Delta_{ij}^l}})}=min\Delta_{ij}^l</script></p>
<p>&#x6700;&#x5C0F;&#x5316;&#x4E24;&#x4E2A;&#x5411;&#x91CF;&#x7684;&#x4F59;&#x5F26;&#x76F8;&#x4F3C;&#x5EA6;</p>
<ul>
<li>&#x5BF9;&#x4E8E;<script type="math/tex; ">\mathcal{J}_2</script> &#x540C;&#x7406;&#xFF0C;&#x4ECE;&#x800C;&#x7EA6;&#x675F;&#x4E86;&#x76F8;&#x4F3C;&#x7684;label&#x5177;&#x6709;&#x76F8;&#x4F3C;&#x7684;hash</li>
<li>&#x5BF9;&#x4E8E; <script type="math/tex; ">\mathcal{J}_3</script>, &#x4F7F; <script type="math/tex; ">H^l</script> &#x548C; <script type="math/tex; ">B^l</script> &#x5C3D;&#x53EF;&#x80FD;&#x63A5;&#x8FD1;&#xFF0C;&#x4ECE;&#x800C;&#x4F7F;&#x5F97;Hash&#x5411;&#x91CF;&#x4E2D;&#x7684;&#x5143;&#x7D20;&#x5C3D;&#x91CF;&#x63A5;&#x8FD1;-1,1&#xFF0C;&#x51CF;&#x5C11;&#x4E86; H -&gt; B &#x65F6;&#x7684;&#x635F;&#x5931;</li>
<li>&#x5BF9;&#x4E8E; <script type="math/tex; ">\mathcal{J}_4</script> , &#x4F7F;&#x5F97;&#x8FD8;&#x539F;&#x7684;&#x6807;&#x7B7E;&#x4E0E;&#x539F;&#x6765;&#x7684;&#x6807;&#x7B7E;&#x5C3D;&#x53EF;&#x80FD;&#x76F8;&#x540C;</li>
</ul>
<blockquote>
<p>&#x8FD9;&#x4E2A;&#x90E8;&#x5206;&#x8DDF;&#x81EA;&#x7F16;&#x7801;&#x5668;&#x5F88;&#x50CF;&#xFF0C;&#x662F;&#x81EA;&#x76D1;&#x7763;&#x7684;&#x8FC7;&#x7A0B;&#xFF0C;&#x7531;label&#x751F;&#x6210;&#x7279;&#x5F81;&#xFF0C;&#x518D;&#x7531;&#x7279;&#x5F81;&#x8FD8;&#x539F;&#x56DE;label</p>
</blockquote>
<h2 id="feature-learningit-f-lh-b">Feature Learning(I/T-&gt;F-&gt;L+H-&gt;B)</h2>
<ul>
<li>&#x8F93;&#x5165;&#xFF1A;&#x56FE;&#x50CF;/&#x6587;&#x672C;&#xFF0C;</li>
<li>&#x7ECF;&#x8FC7;&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#x63D0;&#x53D6;&#x7279;&#x5F81;&#xFF08;&#x56FE;&#x50CF;&#x548C;&#x6587;&#x672C;&#x7684;&#x7F51;&#x7EDC;&#x4E0D;&#x540C;&#xFF09;</li>
<li>&#x8F93;&#x51FA;&#x957F;&#x5EA6;&#x4E3A;N&#x7684;&#x5411;&#x91CF;&#xFF0C;N=K+c&#xFF0C;K&#x4E3A;&#x54C8;&#x5E0C;&#x7801;&#x957F;&#x5EA6;&#xFF0C;c&#x4E3A;label&#x7684;&#x7C7B;&#x522B;&#x4E2A;&#x6570;</li>
<li>&#x8BAD;&#x7EC3;&#x76EE;&#x6807;&#xFF1A;<ul>
<li>&#x5728;&#x7279;&#x5F81;&#x4E2D;&#x4FDD;&#x7559;&#x8BED;&#x4E49;&#x4FE1;&#x606F;&#xFF0C;&#x56E0;&#x6B64;&#x5E0C;&#x671B;&#x9884;&#x6D4B;label&#x4E0E;&#x771F;&#x5B9E;label&#x76F8;&#x8FD1;</li>
<li>hash&#x5C3D;&#x91CF;&#x63A5;&#x8FD1;binary code</li>
<li>&#x8BA9;&#x7279;&#x5F81;&#x63D0;&#x53D6;&#x5F97;&#x5230;&#x7684;feature&#x548C;hash&#x4E0E;Semantic Generation&#x5F97;&#x5230;&#x7684;&#x7279;&#x5F81;&#x548C;hash&#x5C3D;&#x91CF;&#x76F8;&#x540C;&#xFF0C;<ul>
<li>&#x56E0;&#x6B64;&#x76D1;&#x7763;&#x4FE1;&#x53F7;&#x505A;feature learning&#x7684;&#x65F6;&#x5019;&#x8FD8;&#x5BF9;&#x63D0;&#x53D6;feature&#x548C;&#x751F;&#x6210;feature&#x7684;&#x76F8;&#x4F3C;&#x6027;&#x505A;&#x7EA6;&#x675F;&#xFF0C;</li>
<li>&#x5BF9;&#x63D0;&#x53D6;hash&#x548C;&#x751F;&#x6210;hash&#x7684;&#x76F8;&#x4F3C;&#x6027;&#x505A;&#x7EA6;&#x675F;</li>
</ul>
</li>
</ul>
</li>
</ul>
<p>&#x5176;&#x4E2D;&#xFF0C;&#x56FE;&#x50CF;&#x7684;&#x7279;&#x5F81;&#x63D0;&#x53D6;&#x7F51;&#x7EDC;&#x4F5C;&#x8005;&#x8BD5;&#x7528;&#x4E86;CNN-F&#x548C;VGG16&#xFF08;VGG16&#x66F4;&#x4F18;&#xFF09;&#xFF0C;&#x6587;&#x672C;&#x7279;&#x5F81;&#x63D0;&#x53D6;&#x5219;&#x662F;&#x4E00;&#x4E2A;&#x65B0;&#x7684;&#x591A;&#x5C3A;&#x5EA6;&#x878D;&#x5408;&#x6A21;&#x578B;&#xFF1A;</p>
<p><img src="README_6.jpg" alt=""></p>
<ul>
<li>&#x8F93;&#x5165;&#xFF1A;&#x6587;&#x672C;&#xFF0C;&#x8F6C;&#x4E3A;&#x4E00;&#x4E2A;&#x8BCD;&#x888B;&#x5411;&#x91CF;&#xFF0C;&#x7531;&#x4E8E;&#x8BCD;&#x888B;&#x5411;&#x91CF;&#x975E;&#x5E38;&#x7A00;&#x758F;&#xFF0C;&#x9700;&#x8981;&#x8F6C;&#x5316;&#x4E3A;&#x4E00;&#x4E2A;&#x76F8;&#x5BF9;&#x7A20;&#x5BC6;&#x7684;&#x5411;&#x91CF;</li>
<li>&#x7F51;&#x7EDC;&#xFF1A;T-&gt;Multi-scale Fusion-&gt;4096-&gt;512-&gt;N</li>
<li>&#x8F93;&#x51FA;&#x957F;&#x5EA6;&#x4E3A;N&#x7684;&#x5411;&#x91CF;&#xFF0C;N=K+c&#xFF0C;K&#x4E3A;&#x54C8;&#x5E0C;&#x7801;&#x957F;&#x5EA6;&#xFF0C;c&#x4E3A;label&#x7684;&#x7C7B;&#x522B;&#x4E2A;&#x6570;</li>
<li>Multi-scale Fusion&#xFF1A;<ul>
<li>5&#x4E2A;average pooling layer(1x1,2x2,3x3,5x5,10x10)+1&#x4E2A;1x1conv</li>
</ul>
</li>
</ul>
<p>&#x8BAD;&#x7EC3;Loss&#x4E0E;&#x524D;&#x9762;&#x7684;Semantic Generation&#x5F88;&#x50CF;</p>
<p><img src="README_7.jpg" alt="">
&#x4F46;&#x53C8;&#x4E0E;&#x4E4B;&#x524D;&#x7684;&#x6A21;&#x578B;&#x4E0D;&#x540C;&#xFF0C;&#x8FD9;&#x91CC;&#x7684;&#x76D1;&#x7763;&#x4FE1;&#x53F7;&#x6709;&#x6807;&#x7B7E;&#x548C;&#x6807;&#x7B7E;&#x751F;&#x6210;&#x7684;&#x7279;&#x5F81;&#xFF0C;&#x800C;&#x4E4B;&#x524D;&#x7684;&#x76D1;&#x7763;&#x4FE1;&#x53F7;&#x5C31;&#x662F;&#x8F93;&#x5165;&#x672C;&#x8EAB;&#x3002;</p>
<p>&#x5176;&#x4E2D;</p>
<ul>
<li><script type="math/tex; ">\Delta_{ij}^l=\frac{1}{2}(F_i^{l})^\top(F_j^{v,t})</script>&#xFF0C;&#x5373;&#x6837;&#x672C;i&#x7684;&#x6807;&#x7B7E;label&#x751F;&#x6210;&#x7684;&#x7279;&#x5F81;&#x548C;&#x6837;&#x672C;j&#x7684;&#x8F93;&#x5165;&#xFF08;&#x56FE;/&#x6587;&#xFF09;&#x63D0;&#x53D6;&#x7684;&#x7279;&#x5F81;&#x7684;&#x4F59;&#x5F26;&#x76F8;&#x4F3C;&#x5EA6;&#xFF0C;&#x76EE;&#x6807;&#x662F;&#x4F7F;&#x63D0;&#x53D6;&#x7684;&#x7279;&#x5F81;&#x548C;&#x751F;&#x6210;&#x7684;&#x7279;&#x5F81;&#x5C3D;&#x91CF;&#x76F8;&#x8FD1;</li>
<li><script type="math/tex; ">\Gamma_{ij}^l=\frac{1}{2}(H_i^l)^\top(H_j^{v,t})</script>&#xFF0C;&#x5373;&#x6837;&#x672C;i&#x7684;&#x6807;&#x7B7E;label&#x751F;&#x6210;&#x7684;hash&#x548C;&#x6837;&#x672C;j&#x7684;&#x8F93;&#x5165;&#xFF08;&#x56FE;/&#x6587;&#xFF09;&#x63D0;&#x53D6;&#x7684;hash&#x7684;&#x4F59;&#x5F26;&#x76F8;&#x4F3C;&#x5EA6;&#xFF0C;&#x76EE;&#x6807;&#x662F;&#x4F7F;&#x63D0;&#x53D6;&#x7684;hash&#x548C;&#x751F;&#x6210;&#x7684;hash&#x5C3D;&#x91CF;&#x76F8;&#x8FD1;</li>
</ul>
<h2 id="adversarial-learning">Adversarial learning</h2>
<ul>
<li>Motivation:&#x4E0D;&#x540C;&#x6A21;&#x6001;&#x63D0;&#x53D6;&#x7684;&#x7279;&#x5F81;&#x4F1A;&#x6709;&#x4E0D;&#x540C;&#x7684;&#x5206;&#x5E03;&#xFF0C;&#x5E0C;&#x671B;&#x76F8;&#x540C;&#x8BED;&#x4E49;&#x7684;&#x5BF9;&#x8C61;&#x5728;&#x4E0D;&#x540C;&#x6A21;&#x6001;&#x91CC;&#x7684;&#x7279;&#x5F81;&#x8868;&#x8FBE;&#x5C3D;&#x91CF;&#x63A5;&#x8FD1;</li>
<li>Solution:&#x52A0;&#x5165;&#x5224;&#x522B;&#x5668;D&#xFF0C;&#x5E0C;&#x671B;D&#x80FD;&#x533A;&#x5206;&#x7279;&#x5F81;&#x662F;&#x6765;&#x81EA;Feature Learning&#x8FD8;&#x662F;Semantic Generation&#xFF0C;D&#x8D8A;&#x5F3A;&#x5927;&#xFF0C;&#x8D8A;&#x80FD;&#x533A;&#x5206;&#x4E24;&#x79CD;&#x7279;&#x5F81;&#xFF0C;&#x8981;&#x6B3A;&#x9A97;D&#xFF0C;&#x5C31;&#x8FEB;&#x4F7F;Feature Learning&#x548C;Semantic Generation&#x5F97;&#x5230;&#x7684;&#x7279;&#x5F81;&#x5C3D;&#x91CF;&#x76F8;&#x8FD1;</li>
</ul>
<p><img src="README_8.jpg" alt=""></p>
<ul>
<li>&#x5224;&#x522B;&#x5668;D&#x7684;&#x7F51;&#x7EDC;&#x7ED3;&#x6784;&#xFF1A;F-&gt;4096-&gt;4096-&gt;1</li>
<li>&#x6BCF;&#x4E2A;&#x6837;&#x672C;(&#x56FE;+&#x6587;+label)&#x4EA7;&#x751F;3&#x4E2A;&#x7279;&#x5F81; <script type="math/tex; ">(𝑥_𝑖^𝑣,𝑥_𝑖^𝑡,𝑥_𝑖^𝑙)</script></li>
<li>&#x8F93;&#x5165;&#xFF1A;&#x56FE;/&#x6587;&#x7279;&#x5F81;+&#x751F;&#x6210;&#x7279;&#x5F81; <script type="math/tex; ">(𝑥_𝑖^𝑣, 𝑥_𝑖^𝑙 )</script> &#x6216;<script type="math/tex; ">(𝑥_𝑖^𝑡,𝑥_𝑖^𝑙)</script></li>
<li>&#x8F93;&#x51FA;&#xFF1A; <script type="math/tex; ">(𝑦_𝑖^𝑣, 𝑦_𝑖^𝑙 )</script> &#x6216; <script type="math/tex; ">(𝑦_𝑖^𝑡, 𝑦_𝑖^𝑙 )</script> &#xFF0C;&#x5373;&#x8F93;&#x5165;&#x5411;&#x91CF;&#x662F;&#x5426;&#x6765;&#x81EA;&#x751F;&#x6210;&#x7279;&#x5F81;</li>
<li>&#x76D1;&#x7763;&#x4FE1;&#x53F7;&#xFF1A; <script type="math/tex; ">𝑦_𝑖^𝑣</script> &#x6216; <script type="math/tex; ">𝑦_𝑖^𝑡=0</script>&#xFF0C;<script type="math/tex; ">𝑦_𝑖^𝑙=1</script></li>
<li>&#x5224;&#x522B;&#x5668;&#x7684;&#x635F;&#x5931;&#x51FD;&#x6570;&#xFF1A;</li>
</ul>
<p><img src="README_9.jpg" alt="">
&#x5373;&#x6700;&#x5C0F;&#x5316;&#x5224;&#x522B;&#x5668;&#x7684;&#x9884;&#x6D4B;&#x8BEF;&#x5DEE;</p>
<h2 id="training">Training</h2>
<ul>
<li><p>&#x4E8E;&#x662F;&#x6211;&#x4EEC;&#x6709;&#x4E86;&#x7279;&#x5F81;&#x751F;&#x6210;Loss:</p>
<p><script type="math/tex; ">\mathcal{L}_{gen}=\mathcal{L}^v+\mathcal{L}^t+\mathcal{L}^l</script></p>
</li>
</ul>
<p>&#x56FE;&#x50CF;&#x7279;&#x5F81;&#x63D0;&#x53D6;loss+&#x6587;&#x672C;&#x7279;&#x5F81;&#x63D0;&#x53D6;loss+&#x6807;&#x7B7E;&#x751F;&#x6210;loss</p>
<ul>
<li>&#x4EE5;&#x53CA;&#x5BF9;&#x6297;loss <script type="math/tex; ">\mathcal{L}_{adv}=\mathcal{L}^v_{adv}+\mathcal{L}^t_{adv}</script></li>
<li>&#x6211;&#x4EEC;&#x7684;&#x4F18;&#x5316;&#x76EE;&#x6807;&#x662F;&#xFF1A; <script type="math/tex; ">(B,\theta^{v,t,l})=argmin_{B,\theta^{v,t,l}}\mathcal{L}_{gen}(B,\theta^{v,t,l})-\mathcal{L}_{adv}(\hat{\theta}_{adv})</script></li>
</ul>
<p>&#x5728;&#x6700;&#x4F18;&#x7684;&#x5224;&#x522B;&#x5668;&#x53C2;&#x6570; <script type="math/tex; ">\hat{\theta}_{adv}</script> &#x4E0B;&#xFF0C;&#x6700;&#x5C0F;&#x5316;&#x7279;&#x5F81;&#x7684;&#x751F;&#x6210;Loss</p>
<p>&#x4EE5;&#x53CA;</p>
<p><script type="math/tex; ">\theta_{adv}=argmax_{\theta_{adv}} L_{gen}(\hat{B}, \hat{\theta}^{v,t,l})-L_{adv}(\theta_{adv})</script></p>
<p>&#x5728;&#x6700;&#x4F18;&#x751F;&#x6210;&#x5668;&#x53C2;&#x6570; <script type="math/tex; ">\hat{B}, \hat{\theta}^{v,t,l}</script>&#x4E0B;&#xFF0C;&#x6700;&#x5C0F;&#x5316;&#x5224;&#x522B;&#x5668;&#x7684;&#x8BC6;&#x522B;&#x8BEF;&#x5DEE; <script type="math/tex; ">L_{adv}</script></p>
<ul>
<li>&#x5177;&#x4F53;&#x5B9E;&#x73B0;&#x4E0A;&#xFF0C;&#x5206;&#x4E3A;&#x56DB;&#x6B65;&#x8FED;&#x4EE3;&#x8FDB;&#x884C;&#x4F18;&#x5316;&#xFF1A;<ul>
<li>Label&#x81EA;&#x76D1;&#x7763;&#x751F;&#x6210;&#x7279;&#x5F81;</li>
<li>&#x56FE;&#x50CF;&#x5206;&#x7C7B;&#x5668;feature learning</li>
<li>&#x6587;&#x672C;&#x5206;&#x7C7B;&#x5668;feature learning</li>
<li>&#x5224;&#x522B;&#x5668;&#x8BAD;&#x7EC3;</li>
</ul>
</li>
</ul>
<p>&#x4E8E;&#x662F;SSAH&#x7684;&#x5DE5;&#x4F5C;&#x673A;&#x5236;&#x5C31;&#x68B3;&#x7406;&#x5B8C;&#x6BD5;&#x4E86;</p>
<h2 id="&#x65B9;&#x6CD5;&#x8BC4;&#x4F30;">&#x65B9;&#x6CD5;&#x8BC4;&#x4F30;</h2>
<p>&#x751F;&#x6210;&#x7684;Hash&#x6548;&#x679C;&#x662F;&#x5426;&#x8DB3;&#x591F;&#x597D;&#xFF0C;&#x901A;&#x5E38;&#x7531;Hamming Ranking&#x548C;Hash Lookup&#x6765;&#x8BC4;&#x4F30;&#xFF0C;&#x5728;&#x8BBA;&#x6587;&#x4E2D;&#xFF0C;&#x4F5C;&#x8005;&#x8FD8;&#x5BF9;&#x6A21;&#x578B;&#x672C;&#x8EAB;&#x505A;&#x4E86;Training efficiency&#xFF0C;Sensitivity analysis&#xFF0C;Ablation study&#x7684;&#x5B9E;&#x9A8C;&#x8BC4;&#x4F30;&#x3002;</p>
<ul>
<li>Hamming Ranking<ul>
<li>&#x6309;&#x7167;&#x54C8;&#x5E0C;&#x7801;&#x6D77;&#x660E;&#x8DDD;&#x79BB;&#x8FDB;&#x884C;Ranking&#xFF0C;&#x8BA1;&#x7B97;mAP</li>
</ul>
</li>
</ul>
<p><img src="README_10.jpg" alt=""></p>
<blockquote>
<p>&#x53EF;&#x4EE5;&#x770B;&#x5230;&#x4F7F;&#x7528;VGG&#x4F5C;&#x4E3A;&#x56FE;&#x50CF;&#x57FA;&#x7840;&#x7F51;&#x7EDC;&#x65F6;&#xFF0C;SSAH&#x51C6;&#x786E;&#x7387;&#x9886;&#x5148;&#x5176;&#x4ED6;&#x65B9;&#x6CD5;&#x5F88;&#x591A;&#x3002;</p>
</blockquote>
<ul>
<li>Hash Lookup<ul>
<li>&#x6D77;&#x660E;&#x8DDD;&#x79BB;&#x5C0F;&#x4E8E;&#x67D0;&#x4E2A;&#x503C;&#x8BA4;&#x4E3A;&#x662F;&#x6B63;&#x6837;&#x672C;&#xFF0C;&#x8FD9;&#x4E2A;&#x503C;&#x79F0;&#x4E3A;Hamming Radius&#xFF0C;&#x6539;&#x53D8;Radius&#x53EF;&#x4EE5;&#x6539;&#x53D8;Precision-Recall&#x7684;&#x503C;&#xFF0C;&#x4E8E;&#x662F;&#x53EF;&#x4EE5;&#x5F97;&#x5230;P-R&#x66F2;&#x7EBF;&#xFF0C;P-R&#x66F2;&#x7EBF;&#x4E0E;&#x5750;&#x6807;&#x8F74;&#x56F4;&#x6210;&#x7684;&#x9762;&#x79EF;&#x8D8A;&#x5927;&#xFF0C;&#x8BF4;&#x660E;&#x6548;&#x679C;&#x8D8A;&#x597D;</li>
</ul>
</li>
</ul>
<p><img src="README_11.jpg" alt=""></p>
<blockquote>
<p>SSAH&#x7684;PR&#x66F2;&#x7EBF;&#x57FA;&#x672C;&#x90FD;&#x662F;&#x5728;&#x5176;&#x4ED6;&#x6A21;&#x578B;&#x7684;&#x66F2;&#x7EBF;&#x4E4B;&#x4E0A;</p>
</blockquote>
<ul>
<li>&#x5BF9;Ranking&#x7684;&#x7ED3;&#x679C;&#x8BA1;&#x7B97;TopN&#x7684;&#x547D;&#x4E2D;&#x7387;&#xFF08;&#x4E0D;&#x8FC7;&#x8FD9;&#x4E2A;&#x6587;&#x4E2D;&#x597D;&#x50CF;&#x6CA1;&#x8BB2;&#xFF09;</li>
<li>Training efficiency<ul>
<li>&#x8FBE;&#x5230;&#x76F8;&#x540C;&#x7684;&#x6548;&#x679C;&#x6240;&#x9700;&#x8BAD;&#x7EC3;&#x65F6;&#x95F4;</li>
</ul>
</li>
</ul>
<p><img src="README_12.jpg" alt=""></p>
<blockquote>
<p>&#x76F8;&#x5BF9;&#x4E8E;&#x53E6;&#x4E00;&#x79CD;&#x6DF1;&#x5EA6;&#x5B66;&#x4E60;&#x65B9;&#x6CD5;DCMH&#xFF0C;SSAH&#x53EA;&#x8981;&#x6BD4;&#x8F83;&#x77ED;&#x7684;&#x65F6;&#x95F4;&#x5C31;&#x80FD;&#x5F97;&#x5230;&#x6BD4;&#x8F83;&#x597D;&#x7684;&#x6548;&#x679C;</p>
</blockquote>
<ul>
<li>Sensitivity analysis<ul>
<li>&#x8D85;&#x53C2;&#x6570;&#x6539;&#x53D8;&#x65F6;&#x7684;&#x7ED3;&#x679C;&#x53D8;&#x5316;</li>
</ul>
</li>
</ul>
<p><img src="README_13.jpg" alt=""></p>
<blockquote>
<p>&#x53EF;&#x4EE5;&#x770B;&#x5230;&#xFF0C;&#x8D85;&#x53C2;&#x6570;&#x53D8;&#x5316;&#x65F6;&#xFF0C;&#x51C6;&#x786E;&#x7387;&#x4F9D;&#x7136;&#x80FD;&#x7EF4;&#x6301;&#x5728;&#x6BD4;&#x8F83;&#x9AD8;&#x7684;&#x6C34;&#x5E73;</p>
</blockquote>
<ul>
<li>Ablation study<ul>
<li>&#x53BB;&#x9664;&#x4E0D;&#x540C;&#x7EC4;&#x4EF6;&#x5BF9;&#x6548;&#x679C;&#x7684;&#x5F71;&#x54CD;</li>
</ul>
</li>
</ul>
<p><img src="README_14.jpg" alt=""></p>
<blockquote>
<p>&#x5176;&#x4E2D;&#xFF0C; SSAH-1: remove LabNet SSAH-2: TxtNet&#x6539;&#x6210;&#x4E09;&#x5C42;&#x5168;&#x8FDE;&#x63A5; SSAH-3: &#x53BB;&#x6389;&#x5BF9;&#x6297;&#x7F51;&#x7EDC; &#x53EF;&#x4EE5;&#x770B;&#x5230;&#x5728;I2T&#x4EFB;&#x52A1;&#x4E2D;&#xFF0C;&#x6807;&#x7B7E;&#x751F;&#x6210;&#x7F51;&#x7EDC;&#x662F;&#x5F88;&#x91CD;&#x8981;&#x7684;&#xFF0C;&#x5728;T2I&#x4EFB;&#x52A1;&#x4E2D;&#x5BF9;&#x6297;&#x7F51;&#x7EDC;&#x7684;&#x6548;&#x679C;&#x66F4;&#x660E;&#x663E;&#x3002;</p>
</blockquote>
<h2 id="summary">Summary</h2>
<p>SSAH&#x4E2D;&#x6700;&#x5999;&#x7684;&#x4E24;&#x70B9;&#x662F;&#xFF0C;&#x7528;Label&#x751F;&#x6210;&#x7279;&#x5F81;&#x548C;&#x54C8;&#x5E0C;&#x6765;&#x76D1;&#x7763;feature learning&#xFF0C;&#x52A0;&#x5165;&#x5BF9;&#x6297;&#x5B66;&#x4E60;&#x6765;&#x62C9;&#x8FD1;&#x4E0D;&#x540C;&#x6A21;&#x6001;&#x7279;&#x5F81;&#x7684;&#x76F8;&#x4F3C;&#x6027;&#xFF0C;&#x6A21;&#x578B;&#x7684;&#x601D;&#x8DEF;&#x8DB3;&#x591F;&#x6E05;&#x6670;&#xFF0C;&#x5BB9;&#x6613;&#x590D;&#x73B0;&#xFF0C;&#x6709;&#x5F88;&#x591A;&#x503C;&#x5F97;&#x5B66;&#x4E60;&#x7684;&#x4E1C;&#x897F;&#x3002;</p>

                                
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